AI & Data use cases: Sales & Commercial
In the Sales & Commercial category, we cover 6 outcome-driven use cases. Most deliver visible impact within 3-6 months, with an average complexity of 3/5 and ROI around 5/5. These cases are designed for organizations starting at 250+ (SME), with concrete deliverables that speed up decision-making. Each case explains the problem, the trajectory, and the tangible outputs.
Category summary
Number of cases
6
Average horizon
3-6 months
Average complexity
3/5
Recommended size
250+ (SME)
Use cases
Sales & Commercial
Predictive lead scoring: prioritize prospects who will close
Prioritize prospects based on their conversion probability using an ML model trained on CRM history.
+30% conversion rate improvement
View case →Sales & Commercial
B2B churn analysis
Identify customers at risk of churn using behavioral and transactional signals.
-15% churn reduction
View case →Sales & Commercial
Next Best Action: the right sales move at the right time
Recommend the optimal next action (call, email, meeting) for each account/opportunity.
+20% win rate improvement
View case →Sales & Commercial
Sales forecasting
Predict future revenue by product/region/rep using statistical or ML models.
-30% forecast error reduction
View case →Sales & Commercial
Buying signal detection
Capture external buying signals (hiring, funding, leadership changes) indicating purchase intent.
+20% qualified pipeline increase
View case →Sales & Commercial
Decision network mapping
Identify introduction paths and key decision makers via professional network analysis.
-20% sales cycle reduction
View case →